The radar-graphic speech learning system for hearing impaired

  • Authors:

  • Hui-Jen Yang;Yun-Long Lay;Chern-Sheng Lin;Pei-Yuan Hong

  • Affiliations:

  • Department of Information Management, National Chinyi University of Technology, No. 35, Lane 215, Sec. 1, Chung-San Road, Taiping City, Taichung Hsien 411, Taiwan;Department of Electronic Engineering, National Chin-Yi University of Technology, No. 35, Lane 215, Sec. 1, Chung-San Road, Taiping City, Taichung Hsien 411, Taiwan;Department of Automatic Control Engineering, Feng Chia University, No. 100, Wenhwa Road, Seatwen, Taichung 40724, Taiwan;Department of Electronic Engineering, National Chin-Yi University of Technology, No. 35, Lane 215, Sec. 1, Chung-San Road, Taiping City, Taichung Hsien 411, Taiwan

  • Venue:
  • Expert Systems with Applications: An International Journal
  • Year:
  • 2009

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Abstract

Speech learning is an important foundation for literacy ability. In general, language training needs a professional instrument to analyze speech for supporting the pronunciation of hearing impaired. However, non-professional speech spectrum equipment is very expensive and its output is not easy for hearing impaired to understand and learn. The purpose of this research is to implement a radar-graphic displaying system (RDS) to support the speech learning for hearing-impaired people at low cost and better performance. The components of RDS include a computer connects to a microphone as input device to capture the speech features; a neural network is used to extract the features for speech recognition; a radar map displays the voice message on the screen to support the hearing impaired to learn speech. A system performance evaluation of RDS was performed after the system was implemented.